Closed jespadinha closed 4 years ago
Early stopping is "implemented" in the sense that only the best validation model is saved, but real early stopping which stops the training completely is hard to implement. I had this in at some point, but realized that finding an exit criteria in a noisy loss/accuracy metric is not trivial, so only the best validation model is saved and the stopping per se is left to you when you see the model really converged
Thank you for the answer!
Is early stopping being performed in this network? Or do they just save the latest best model checkpoint but still resume trainning until the end?